Showing 1 - 10 of 114
Investigating a data set containing different sounds of several instruments suggests that local modelling may be a promising approach to take into account different timbre characteristics of different instruments. For this reason, some basic ideas towards a local modelling are realized in this...
Persistent link: https://www.econbiz.de/10009216970
Scatterplot3d is an R package for the visualization of multivariate data in a three dimensional space. R is a “language for data analysis and graphics”. In this paper we discuss the features of the package. It is designed by exclusively making use of already existing functions of R and its...
Persistent link: https://www.econbiz.de/10010982373
Persistent link: https://www.econbiz.de/10010955515
Clustering of features generated of musical sound recordings proved to be beneficial for further classification tasks such as instrument recognition (Ligges and Krey in Comput Stat 26(2):279–291, <CitationRef CitationID="CR11">2011</CitationRef>). We propose to use order constrained solutions in K-means clustering to stabilize the...</citationref>
Persistent link: https://www.econbiz.de/10010998531
The R2WinBUGS package provides convenient functions to call WinBUGS from R. It automatically writes the data and scripts in a format readable by WinBUGS for processing in batch mode, which is possible since version 1.4. After the WinBUGS process has finished, it is possible either to read the...
Persistent link: https://www.econbiz.de/10005106027
Persistent link: https://www.econbiz.de/10008533858
Persistent link: https://www.econbiz.de/10005184534
This article comments on a frequency estimator which was proposed by [6] and shows empirically that it exhibits a much larger mean squared error than a well known frequency estimator by [8]. It is demonstrated that by using a heuristical adjustment [2] the performance can be greatly improved....
Persistent link: https://www.econbiz.de/10009216877
Local and more and more global musical structure is analyzed from audio time series by time-series-event analysis with the aim of automatic sheet music production and comparison of singers. Note events are determined and classified based on local spectra, and rules of bar events are identified...
Persistent link: https://www.econbiz.de/10009216963
Based on former work on automatic transcription of musical time series into sheet music (Ligges et al. (2002), Weihs and Ligges (2003, 2005)) in this paper parameters of the transcription algorithm are optimized for various real singers. Moreover, the parameters of various artificial singer...
Persistent link: https://www.econbiz.de/10009219808